Building of unified data repository that includes data from all sources
We have built an inventory forecasting tool with the help of python and machine learning to create a forecasting application that uses forecasting techniques and a time series forecasting model to predict future requirements. This maintains stock for any store and reduces inventory management efforts. This provides an analytical report using the ml model and enough historical data. Our forecasting tool provides an analytical approach to take business decisions.
Our in-house inventory forecasting tool has been built using Python and a machine learning model. The inventory forecasting tool can be customized completely as per the client’s requirement.
We have built the tool using the following:
- Python
- Flask
- Machine learning model
- Time series methods
- API Design Methods
Our Challenges / Solutions
We have prepared Wireframes and Front end design using Adobe XD, Photoshop in coming up with the initial design and mockup and followed by further design revisions
- Design graphic user interface elements, like menus and tabs
- Illustrate design ideas using storyboards, process flows
- Built page elements such custom graphics and illustrations
- Developed UI mockups and prototypes that clearly illustrate how sites function and look like
- Layout adjustments based on user feedback
Our Development Team came up with the technical architecture followed by data flow design, process flow design, flow charts, and technical documentation
We used PHP Tech Stack with Application Programming Interfaces (APIs) which let “Plug in” to other Useful Features. Through our highly skilled and certified developers, we developed custom solutions and technical services on a wide range of requirements and thereby exceeding the client’s expectations. This has all been achieved through our efficient coding best practices, development processes, implementation guidelines, technical maturity & end to end delivery.
We performed a comprehensive test strategy since technology stack undergo constant changes due to upgrades in web and mobile technologies. Our testing included exhaustive functional and non-functional testing, manual and automation testing besides performance and security testing. Our automated Application Testing and Performance Analysis ensured testing the applications on multiple devices and form factors and make the testing process quick, efficient, reliable, repeatable and reusable.
Our comprehensive application testing coverage included the following:
- Functional testing including UI testing for native, hybrid and web applications
- Cross Browser Testing across various browser platforms
- Cross platform testing: iOS, Android, Windows, BlackBerry and HTML5
- Non-functional testing: Performance, stability, security and compliance
- Usability and compatibility testing
